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dc.contributor.authorNieto-Chaupis, Huber
dc.date.accessioned2024-04-05T14:27:45Z
dc.date.available2024-04-05T14:27:45Z
dc.date.issued2023
dc.identifier.urihttps://hdl.handle.net/20.500.13067/3086
dc.description.abstractBecause the neural complexity at brain and the demonstrated electric activity, this paper triggers the hypothesis that the neural synapse might be a tangible outcome of kirchhoff’s laws. Thus, when a direct association between the kirchhoff’s voltage law and the Fokker-Planck equation is assumed, then the synapse would acquire an electric interpretation as a bioelectric device composed by two capacitors and a single resistor. It is actually in a fully agreement to the process of synapse. Thus, while neurotransmitters inside the synaptic vesicles are together, them can behave as an electric capacitor. Indeed, after the releasing of neurotransmitters most of them can form bunching at the zone of cleft. Thus, the stopped neurotransmitters at the cleft would collapse the neural synapse. Hypothetically, this would origin neurodegenerative diseases such as dementia, Alzheimer, etc. In this manner, under the assumption that neurotransmitters can transport a surface charge density, then the presence of electric and magnetic fields provided by an external source might to change their inherent electrical processes. Some scenarios are proposed.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherIEEEes_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/es_PE
dc.subjectResistorses_PE
dc.subjectNeurotransmitterses_PE
dc.subjectThree-dimensional displayses_PE
dc.subjectCapacitorses_PE
dc.subjectVoltagees_PE
dc.subjectMathematical modelses_PE
dc.subjectInternetes_PE
dc.titleKirchhoff’s Voltage Law at Neural Synapse From Electric Currents Based at Neurotransmiterses_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.journal2023 IEEE International Conference on Big Data (BigData)es_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04es_PE
dc.relation.urlhttps://doi.org/10.1109/BigData59044.2023.10386613es_PE


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